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ICASSP
2008
IEEE
13 years 11 months ago
Fast noise tracking based on recursive smoothing of MMSE noise power estimates
We consider estimation of the noise spectral variance from speech signals contaminated by highly nonstationary noise sources. In each time frame, for each frequency bin, the noise...
Jan S. Erkelens, Richard Heusdens
TASLP
2008
104views more  TASLP 2008»
13 years 5 months ago
Tracking of Nonstationary Noise Based on Data-Driven Recursive Noise Power Estimation
This paper considers estimation of the noise spectral variance from speech signals contaminated by highly nonstationary noise sources. The method can accurately track fast changes ...
Jan S. Erkelens, Richard Heusdens
ICASSP
2010
IEEE
13 years 5 months ago
MMSE based noise PSD tracking with low complexity
Most speech enhancement algorithms heavily depend on the noise power spectral density (PSD). Because this quantity is unknown in practice, estimation from the noisy data is necess...
Richard C. Hendriks, Richard Heusdens, Jesper Jens...
JCM
2008
76views more  JCM 2008»
13 years 5 months ago
Waterfilling Estimation for AWGN MIMO Channel Modeled as a Random Matrix
Waterfilling solutions provide optimal power distribution in multiple-input multiple-output (MIMO) system design. However, the optimal distribution is usually obtained through cost...
Victor M. Vergara, Silvio E. Barbin, Ramiro Jordan
SAC
2008
ACM
13 years 4 months ago
Local linear regression with adaptive orthogonal fitting for the wind power application
For short-term forecasting of wind generation, a necessary step is to model the function for the conversion of meteorological variables (mainly wind speed) to power production. Su...
Pierre Pinson, Henrik Aalborg Nielsen, Henrik Mads...